Lucene boosting only on matching field values

[Eric Chu]

Hi all,

I was wondering if there is any way to do a boost on the document based on
which value is in a field matched by a query.

ie, (Sample code below)
- You have a document that contains 1 field with multiple values.
- Field has value ABC boosted by 2.0
- Field has value XYZ boosted by 3.0
- I want the query that matches value XYZ to be ranked higher then the query
that matches value ABC

Is there a way to do this without slotting each value into a different
field?

Thanks for your time,
Eric

*Sample Code:*
import org.apache.lucene.document.Field;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.queryParser.QueryParser;
import org.apache.lucene.search.Query;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.RAMDirectory;
import org.apache.lucene.document.Document;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.TopDocCollector;
import org.apache.lucene.search.Searcher;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.ScoreDoc;

public class LuceneScoreTest {

    public static void main (String[] args){

    try {

        // build index
        Directory index = buildIndex();
        Searcher searcher = new IndexSearcher(index);

        // query index
        String[] queries = new String[2];
        queries[0] = "+F1:(ABC)";
        queries[1] = "+F1:(XYZ)";

        for (int i=0 ; i<queries.length ; i++){
        String query = queries[i];
        System.out.println("==="+query+"===");
        Query q = new QueryParser("", new StandardAnalyzer()).parse(query);
        TopDocCollector hitCollector = new TopDocCollector(100);
        searcher.search(q,null,hitCollector);
        TopDocs topDocs = hitCollector.topDocs();

        // analyze results
        if (topDocs!=null && topDocs.totalHits>0){
            int totalHits = topDocs.totalHits;
            ScoreDoc[] docs = topDocs.scoreDocs;
            ScoreDoc doc;
            Document document;

System.out.println("topDocs.getMaxScore():"+topDocs.getMaxScore());
            System.out.println("topDocs.totalHits:"+totalHits);
            if (docs!=null && docs.length>0){
            for (int j = 0 ; j < docs.length ; j++){
                doc = docs[j];
                System.out.println("SCOREDOC[:"+j+"] score:"+doc.score);
                document = searcher.doc(doc.doc);
                System.out.println("DOCUMENT[:"+j+"]:"+document.get("F1"));
                System.out.println("DOCUMENT[:"+j+"]
boost:"+document.getBoost());
            }
            }
        }else{
            System.out.println("No docs found.");
        }
        }
    }catch (Exception e){
        e.printStackTrace();
    }
    }

    static Directory buildIndex () {
    Directory index = new RAMDirectory();
    IndexWriter w = null;
    Document doc = null;
    try {
        w = new IndexWriter(index, new StandardAnalyzer(), true);
        doc = new Document();
        Field f2 = new Field("F1", "XYZ", Field.Store.YES,
Field.Index.TOKENIZED);
        f2.setBoost(10.0f);
        doc.add(f2);
        Field f1 = new Field("F1", "ABC", Field.Store.YES,
Field.Index.TOKENIZED);
        f1.setBoost(1.0f);
        doc.add(f1);
        w.addDocument(doc);
        w.flush();
    }catch (Exception e){
        e.printStackTrace();
    }finally{
        try { if (w!=null) w.close(); }catch (Exception e){}
    }
    return index;
    }

}